AI
MS Data Science · ASU
Open to Opportunities

Shubbh
Rajesh Mewada

I build intelligent systems — RL trading agents, offline LLM pipelines, vision models, big data ETL. 8 published papers. 105 citations. Obsessed with making AI work in the real world.

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8 Publications
105 Citations
h-index 4
PyTorch
Reinforcement Learning
Computer Vision
NLP
RAG Pipelines
PySpark
CUDA / RAPIDS
LLM Engineering
IEEE Conference Papers
ONNX Runtime
Batcave Terminal
8 Publications
105 Citations
h-index 4
PyTorch
Reinforcement Learning
Computer Vision
NLP
RAG Pipelines
PySpark
CUDA / RAPIDS
LLM Engineering
IEEE Conference Papers
ONNX Runtime
Batcave Terminal
Selected Work

Things I've
Built

End-to-end projects spanning RL, LLMs, big data engineering, and computer vision.

01
Batcave Terminal
RecurrentPPO 3-Expert LSTM Ensemble ONNX Runtime Next.js
↗ 02
Finance-RL Trading Agent
PyTorch DQN / PPO Stable-Baselines3 OpenAI Gym
↗ 03
Offline RAG Code Tutor
Qwen2.5-Coder-14B ChromaDB RAPIDS / CUDA Streamlit
↗ 04
Tesla Speed Optimizer
PySpark 4.0 Spark SQL Parquet Power BI
↗ 05
Behavioral Dynamics Prediction
PyTorch GRU + Attention SBERT Neural Point Process
↗ 06
Research Portfolio — 8 Papers
Computer Vision NLP Transfer Learning IEEE
↗
Tech Stack

What I
Work
With

Every tool here has been used in production or peer-reviewed research. Built from real projects, not tutorials.

Languages
Python CUDA C++ Cython SQL
ML / DL Frameworks
PyTorch TensorFlow Stable-Baselines3 Hugging Face OpenAI Gym Scikit-learn YOLOv5 ONNX Runtime
LLM / NLP / RAG
Qwen2.5-Coder-14B ChromaDB SentenceTransformers SBERT LM Studio RAG Pipelines
Data Engineering & GPU
PySpark 4.0 RAPIDS cuDF CuPy Pandas NumPy Parquet Power BI
Tools & Deployment
Next.js Vercel Streamlit OpenCV Git / GitHub Jupyter Matplotlib Seaborn
Publications

Research
Impact

8 peer-reviewed IEEE conference papers published in 2023 — spanning Computer Vision, NLP, Medical AI, Audio ML, and Financial Forecasting.

View All Papers
8 Papers
105 Citations
4 h-index
4 i10-index

Let's
Work
Together

smewada@asu.edu LinkedIn GitHub Google Scholar